Michael Stoffers is a Senior Data Analyst specializing in quantitative research methods and advanced statistical modeling for graduate-level dissertations and theses.
With over 6 years of hands-on experience supporting master’s and doctoral candidates, Michael is highly skilled in transforming raw data into meaningful insights that align with academic research objectives. His core expertise includes survey data analysis, experimental research, predictive modeling, and longitudinal data analysis, using industry-standard tools like SPSS, R, Stata, and Python. Michael routinely conducts regression analysis, ANOVA, MANOVA, factor analysis, SEM, and time series analysis, delivering not only accurate results but also clear, easy-to-follow interpretations.
Known for his precision and student-focused approach, Michael is committed to helping clients navigate the statistical aspects of their research with confidence. Whether guiding students through hypothesis testing or assisting with results interpretation for publication, his goal is to make the data analysis process smooth, insightful, and academically sound.
